International Journal of Science and Research (IJSR)

International Journal of Science and Research (IJSR)
Call for Papers | Fully Refereed | Open Access | Double Blind Peer Reviewed

ISSN: 2319-7064

Downloads: 4 | Views: 176 | Weekly Hits: ⮙3 | Monthly Hits: ⮙3

Informative Article | Science and Technology | India | Volume 10 Issue 2, February 2021 | Rating: 5.5 / 10

Edge Computing and IoT Integration in Public Bus Transport: A Leap towards Intelligent Mobility

Aditya Kumar Sharma [3]

Abstract: Recent advancements in Mobile Edge Computing (MEC) and the widespread adoption of Internet of Things (IoT) devices have set the stage for significant improvements in public bus transportation systems. This study explores the impact of these emerging technologies on enhancing operational efficiency, passenger safety, and service quality. By leveraging the computational power of MEC and the data-rich insights from IoT devices, particularly AI cameras, the research proposes a novel framework for real-time data analysis and decision-making. The research highlights how the shift from centralized cloud computing to edge computing addresses latency, bandwidth, and data processing challenges inherent in mobile networks. The research delves into the application of Deep Reinforcement Learning (DRL) to optimize resource allocation, energy consumption, and incident response. The findings demonstrate that the intelligent offloading of computational tasks from AI cameras to MEC servers can significantly boost system performance, especially under dynamic network conditions. The study further discusses the role of actor-critic architecture in policy optimization, facilitating adaptative learning and efficient queuing mechanisms. This synergetic approach not only ensures a higher Quality of Service (QoS) but also bolsters the safety mechanisms through enhanced monitoring and behavioral analysis of passengers and drivers. Experimental DRL calculations illustrates the practicality of our proposed model in a real-world transit environment, paving the way for a smarter, safer, and more responsive public bus transportation system.

Keywords: Mobile Edge Computing, Internet of Things, Public Transportation, AI Cameras, Deep Reinforcement Learning, Resource Allocation, Computational Offloading, Quality of Service

Edition: Volume 10 Issue 2, February 2021,

Pages: 1710 - 1714

How to Download this Article?

Type Your Valid Email Address below to Receive the Article PDF Link

Verification Code will appear in 2 Seconds ... Wait